REDDIT · REDDIT// 10d agoBENCHMARK RESULT

1-bit Bonsai 8B hits 250 t/s benchmark

A newly surfaced benchmark shows a 1-bit 8B model achieving over 250 tokens per second for generation and 9,000 tokens per second for prompt processing on a single H100 GPU. The extreme compression shrinks the model to just 1.07GB, signaling a major leap for high-speed edge inference.

// ANALYSIS

Extreme 1-bit quantization is moving rapidly from academic theory to blistering, practical speed.

–Hitting 250+ t/s for generation and 9000+ t/s for prompt processing proves the immense compute efficiency of 1-bit architectures in llama.cpp.
–Compressing an 8B parameter model to ~1.1GB means powerful local LLMs can now easily fit in RAM on standard consumer hardware, smartphones, and edge devices.
–If the quality degradation of Q1_0 quantization remains acceptable for specific tasks, 1-bit models like Bonsai-8B will become the default for on-device reasoning.

// TAGS

1-bit-bonsai-8bllminferenceedge-aiopen-weights

DISCOVERED

10d ago

2026-04-01

PUBLISHED

10d ago

2026-04-01

RELEVANCE

8/ 10

AUTHOR

ipechman